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具有不完全免疫的SIVR传染病模型的动力学分析与最优控制

Dynamics analysis and optimal control of SIVR epidemic model with incomplete immunity.

作者信息

Liu Yiming, Jian Shuang, Gao Jianguo

机构信息

School of Mathematics and Information Science, North Minzu University, Yinchuan, 750021 P.R. China.

出版信息

Adv Contin Discret Model. 2022;2022(1):51. doi: 10.1186/s13662-022-03723-7. Epub 2022 Jul 18.

Abstract

In this paper, we establish an SIVR model with diffusion, spatially heterogeneous, latent infection, and incomplete immunity in the Neumann boundary condition. Firstly, the threshold dynamic behavior of the model is proved by using the operator semigroup method, the well-posedness of the solution and the basic reproduction number are given. When , the disease-free equilibrium is globally asymptotically stable, the disease will be extinct; when , the epidemic equilibrium is globally asymptotically stable, the disease will persist with probability one. Then, we introduce the patient's treatment into the system as the control parameter, and the optimal control of the system is discussed by applying the Hamiltonian function and the adjoint equation. Finally, the theoretical results are verified by numerical simulation.

摘要

在本文中,我们建立了一个在诺伊曼边界条件下具有扩散、空间异质性、潜伏感染和不完全免疫的SIVR模型。首先,利用算子半群方法证明了模型的阈值动态行为,给出了解的适定性和基本再生数。当 时,无病平衡点全局渐近稳定,疾病将灭绝;当 时,流行平衡点全局渐近稳定,疾病将以概率1持续存在。然后,将患者的治疗作为控制参数引入系统,并应用哈密顿函数和伴随方程讨论了系统的最优控制。最后,通过数值模拟验证了理论结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac8/9294857/5d7545ffbdf9/13662_2022_3723_Fig1_HTML.jpg

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